CT derived fractional flow reserve: Part 2 : Critical appraisal of the literature

Rodriguez-Lozano, Patricia F. and Waheed, Anam and Evangelou, Sotirios and Kolossváry, Márton and Shaikh, Kashif and Siddiqui, Saira and Stipp, Lauren and Lakshmanan, Suvasini and Wu, En-Haw and Nurmohamed, Nick S. and Orbach, Ady and Baliyan, Vinit and de Matos, Joao Francisco Ribeiro Gavina and Trivedi, Siddharth J. and Madan, Nidhi and Villines, Todd C. and Ihdayhid, Abdul Rahman (2025) CT derived fractional flow reserve: Part 2 : Critical appraisal of the literature. JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 19 (4). pp. 397-408. ISSN 19345925

Preview	Text PIIS1934592525003454.pdf - Published Version Available under License Creative Commons Attribution. Download (5MB) | Preview
	Text (Plain Text Bibliography) bibliography.txt Download (13kB)

Abstract

The integration of computed tomography-derived fractional flow reserve (CT-FFR), utilizing computational fluid dynamics and artificial intelligence (AI) in routine coronary computed tomographic angiography (CCTA), presents a promising approach to enhance evaluations of functional lesion severity. Extensive evidence underscores the diagnostic accuracy, prognostic significance, and clinical relevance of CT-FFR, prompting recent clinical guidelines to recommend its combined use with CCTA for selected individuals with with intermediate stenosis on CCTA and stable or acute chest pain. This manuscript critically examines the existing clinical evidence, evaluates the diagnostic performance, and outlines future perspectives for integrating noninvasive assessments of coronary anatomy and physiology. Furthermore, it serves as a practical guide for medical imaging professionals by addressing common pitfalls and challenges associated with CT-FFR while proposing potential solutions to facilitate its successful implementation in clinical practice.

Actions (login required)

Edit Item